Demand forecasting and reordering is a manual, time-intensive process where operations teams extract sales data, check inventory levels, calculate forecasts, and determine reorder quantities across multiple systems. Manual calculations are error-prone, slow, and delay restocking decisions.
Automation pulls sales and inventory data automatically, calculates demand forecasts using statistical methods, and generates reorder recommendations with supplier lead times factored in. the team approves exceptions only, while routine orders flow to suppliers on schedule.
The full workflow, from trigger to completion.
At 11 PM each day, the automation platform pulls sales data for all channels and SKUs. Current inventory levels are fetched simultaneously.
The automation analyzes 90 days of historical sales, applies exponential smoothing, and adjusts for known promotions or seasonal patterns. It outputs a 14-day demand forecast for each SKU.
The automation compares forecasted demand against current stock, applies supplier lead times, and calculates the reorder quantity using safety stock rules. It flags SKUs that need immediate reordering.
If projected stock falls below the reorder point within the lead time window, the flow proceeds to create a purchase order. Otherwise, the SKU is logged and the cycle continues.
A purchase order is automatically generated with the SKU, calculated quantity, supplier, and expected delivery date. The PO is marked as draft pending final review.
A notification is sent to the operations manager with the reorder summary, including SKU, quantity, supplier, and expected delivery. The manager can approve or adjust before the PO is finalized.
Once approved, the reorder is logged to a Google Sheet with timestamp, SKU, quantity, supplier, and expected delivery date for audit and reconciliation.
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